English | 繁體

Search in the results

UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
Research on the Great Multi-model Pyramid Training Framework and Enhanced Loss Function for Fine-grained Classification Conference paper
Guo, Pengze, Guo, Pengze. Research on the Great Multi-model Pyramid Training Framework and Enhanced Loss Function for Fine-grained Classification[C]:Association for Computing Machinery, 2024, 414-422.
Authors:  Guo, Pengze;  Guo, Pengze
Favorite | TC[Scopus]:0 | Submit date：2024/12/26
Confusing Class Accuracy  Enhanced Loss Function (c-Loss)  Fine-grained Classification  Knowledge Distillation  Multi-model Pyramid Training Framework (Mptf)  
Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism Journal article
Chen, Haiyuan, Cheng, Lianglun, Huang, Guoheng, Zhang, Ganghan, Lan, Jiaying, Yu, Zhiwen, Pun, Chi Man, Ling, Wing Kuen. Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism[J]. Applied Intelligence, 2022, 52(13), 15673-15689.
Authors:  Chen, Haiyuan;  Cheng, Lianglun;  Huang, Guoheng;  Zhang, Ganghan;  Lan, Jiaying; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:3.4/3.9 | Submit date：2022/05/17
Attention Mechanism  Feature Filtering  Fine-grained Visual Classification  Self-supervised Learning  
Weakly supervised fine-grained image classification via salient region localization and different layer feature fusion Journal article
Chen,Fangxiong, Huang,Guoheng, Lan,Jiaying, Wu,Yanhui, Pun,Chi Man, Ling,Wing Kuen, Cheng,Lianglun. Weakly supervised fine-grained image classification via salient region localization and different layer feature fusion[J]. Applied Sciences (Switzerland), 2020, 10(13), 4652.
Authors:  Chen,Fangxiong;  Huang,Guoheng;  Lan,Jiaying;  Wu,Yanhui;  Pun,Chi Man; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:2.5/2.7 | Submit date：2021/03/11
Attention Model  Different Layer Feature Fusion  Fine-grained Image Classification